Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
51
Detecting Disease Outbreaks in Mass Gatherings Using Internet Data
Elad Yom-Tov, Diana Borsa, Ingemar J Cox, Rachel A McKendry
J Med Internet Res 2014;16(6):e154
(Jun 18, 2014)
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18 5.31 0.00 15 90
 
 
52
Initial Outcomes From a 4-Week Follow-Up Study of the Text4baby Program in the Military Women’s Population: Randomized Controlled Trial
W Douglas Evans, Jasmine Wallace Bihm, Daniel Szekely, Peter Nielsen, Elizabeth Murray, Lorien Abroms, Jeremy Snider
J Med Internet Res 2014;16(5):e131
(May 20, 2014)
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18 4.16 0.00 5 35
 
 
53
Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy
Jaehee Cho, Dongjin Park, H Erin Lee
J Med Internet Res 2014;16(5):e125
(May 9, 2014)
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18 3.85 0.00 17 85
 
 
54
Effectiveness and Cost-Effectiveness of eHealth Interventions in Somatic Diseases: A Systematic Review of Systematic Reviews and Meta-Analyses
Niels J Elbert, Harmieke van Os-Medendorp, Wilco van Renselaar, Anne G Ekeland, Leona Hakkaart-van Roijen, Hein Raat, Tamar EC Nijsten, Suzanne GMA Pasmans
J Med Internet Res 2014;16(4):e110
(Apr 16, 2014)
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18 3.32 0.00 5 50
 
 
55
Prevention of Generalized Anxiety Disorder Using a Web Intervention, iChill: Randomized Controlled Trial
Helen Christensen, Philip Batterham, Andrew Mackinnon, Kathleen M Griffiths, Kanupriya Kalia Hehir, Justin Kenardy, John Gosling, Kylie Bennett
J Med Internet Res 2014;16(9):e199
(Sep 2, 2014)
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17 18.17 0.00 10 70
 
 
56
Changes Over Time in the Utilization of Disease-Related Internet Information in Newly Diagnosed Breast Cancer Patients 2007 to 2013
Christoph Kowalski, Eva Kahana, Kathrin Kuhr, Lena Ansmann, Holger Pfaff
J Med Internet Res 2014;16(8):e195
(Aug 26, 2014)
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17 14.64 0.00 14 80
 
 
57
Use of the Internet as a Health Information Resource Among French Young Adults: Results From a Nationally Representative Survey
François Beck, Jean-Baptiste Richard, Viet Nguyen-Thanh, Ilaria Montagni, Isabelle Parizot, Emilie Renahy
J Med Internet Res 2014;16(5):e128
(May 13, 2014)
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17 3.74 0.00 14 75
 
 
58
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
Miguel Angel Luengo-Oroz, Asier Arranz, John Frean
J Med Internet Res 2012;14(6):e167
(Nov 29, 2012)
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17 2.83 0.00 189 100
 
 
59
Mobile Phone Text Messaging Intervention for Cervical Cancer Screening: Changes in Knowledge and Behavior Pre-Post Intervention
Hee Yun Lee, Joseph S Koopmeiners, Taeho Greg Rhee, Victoria H Raveis, Jasjit S Ahluwalia
J Med Internet Res 2014;16(8):e196
(Aug 27, 2014)
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16 14.17 0.00 9 75
 
 
60
The Use of Social Media by State Tobacco Control Programs to Promote Smoking Cessation: A Cross-Sectional Study
Jennifer C Duke, Heather Hansen, Annice E Kim, Laurel Curry, Jane Allen
J Med Internet Res 2014;16(7):e169
(Jul 10, 2014)
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16 5.98 0.00 16 90
 
 
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Total Tweets
 
Tweets per Month
 
Tweets Influence Factor
 
Twimpact Factor (TWIF) tw7
 
Twindex7

A Tweets per month statistic may be artifically inflated for newly published articles

B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others)

C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011)

D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited.